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mri_radiomics_toolkit's Issues

Saved state depend on version number of `sklearn`

Error like this will pop up:

python3.8/site-packages/sklearn/base.py:324: UserWarning: Trying to unpickle estimator StandardScaler 
from version 1.0 when using version 1.0.1. This might lead to breaking code or invalid results. Use at your 
own risk. For more info please refer to:
https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations

This is because joblib.dump was used to save the states. This pickles also the packages.
Not ideal but this is related to how sklearn work.

Save state also save dependency on other files

Controller.settings is loaded as a path to a yml file. This is saved with joblib.
Problem with this is when the .ctl file is transferred else where, the program will loss the setting file and
cannot properly load the checkpoint.

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